Why CVinter? [Power / Sample Size]
Hi Helmut,
Thanks for your reply! I am very familiar with setting up BE studies and thus taking into account CVintra, but struggling a bit with the "brilliant" idea of my boss for this product regarding CVinter.
We do not have data of a replicate study, but the CVintra reported in BE studies with IR tablets is about 10-15%. I should have said "CVintra of the compound when formulated in an IR tablet."
I should have provided a bit more background. I will try to explain the rationale
The IR tablets currently on the market show low CVintra, but high differences in terms of bioavailability (AUC) between subjects. Bioavailability after oral administration of IR tablets varies between about 30 to 95%. If a patient shows low BA (low-responder), he/she is switched to injections.
We are developing MR tablets/capsules (eiter EC or CR) which we believe may increase bioavailability for those who show low bioavailability with IR tablets (however, this idea may be far-fetched). If we would be able to raise bioavailability to about 60 to 95% in general, we would have proof of our concept. In other words, more patients would be able to stay on tablets (instead of injections).
Well, this is where I am having doubts. How large should the sample size be to show a potential difference in AUCs between subjects? In other words, how many patients do we need to show that bioavailability is increased from 30-95% with IR tablets to, say, about 50/60-95% with our formulation?
As a consequence, we will obviously not aim for BE and probably end up in a phase III study...
I know that this is kind of a long-shot, but we (read: my boss) are willing to give it a try...
Thanks!
Thanks for your reply! I am very familiar with setting up BE studies and thus taking into account CVintra, but struggling a bit with the "brilliant" idea of my boss for this product regarding CVinter.
❝ CVs of the product? Do you have data of a replicate study?
We do not have data of a replicate study, but the CVintra reported in BE studies with IR tablets is about 10-15%. I should have said "CVintra of the compound when formulated in an IR tablet."
❝ Hhm, why CVinter?
I should have provided a bit more background. I will try to explain the rationale

The IR tablets currently on the market show low CVintra, but high differences in terms of bioavailability (AUC) between subjects. Bioavailability after oral administration of IR tablets varies between about 30 to 95%. If a patient shows low BA (low-responder), he/she is switched to injections.
We are developing MR tablets/capsules (eiter EC or CR) which we believe may increase bioavailability for those who show low bioavailability with IR tablets (however, this idea may be far-fetched). If we would be able to raise bioavailability to about 60 to 95% in general, we would have proof of our concept. In other words, more patients would be able to stay on tablets (instead of injections).
❝ ❝ What sample size would be appropriate?
❝
❝ Define appropriate. 
Well, this is where I am having doubts. How large should the sample size be to show a potential difference in AUCs between subjects? In other words, how many patients do we need to show that bioavailability is increased from 30-95% with IR tablets to, say, about 50/60-95% with our formulation?
As a consequence, we will obviously not aim for BE and probably end up in a phase III study...
I know that this is kind of a long-shot, but we (read: my boss) are willing to give it a try...
Thanks!
—
Regards,
Oiinkie
Regards,
Oiinkie
Complete thread:
- Sample size inter-subject variability Oiinkie 2013-12-11 14:23
- Why CVinter? Helmut 2013-12-11 15:04
- Why CVinter?Oiinkie 2013-12-11 17:47
- first define patient population Dr_Dan 2013-12-12 09:25
- first define patient population Oiinkie 2013-12-17 10:02
- first define patient population Dr_Dan 2013-12-12 09:25
- Why CVinter?Oiinkie 2013-12-11 17:47
- Why CVinter? Helmut 2013-12-11 15:04
